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IDENTIFIKASI OBJEK SEKITAR BERBASIS ALGORITMA YOLO SEBAGAI INPUT SISTEM KENDALI KEMUDI PADA AUTONOMOUS ELECTRIC VEHICLE

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Penilaian

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As smart vehicle technology develops, an autonomous electric vehicle is invented. The vehicle must be equipped with various sensors, one of which is a camera, which is working by providing visual input that is used to detect objects around the autonomous electric vehicle. Currently, there is no method that can be implemented in real time, so this research uses the YOLO (You Only Look Once) algorithm to detect objects in real time around the autonomous electric vehicle. The objects that will be detected by the autonomous electric vehicle in this research is limited to motorcycles and cars. The research results showed that the most compatible YOLO model for the system was the Tiny YOLOv4 model which was built with the help of the darknet framework. The result from the simulation experiment was the system is able to obtain a detection accuracy of 80% and capable to transmit information in a form of data location of the object to the microcontroller. From 10 times of testing, a success rate of 100% is obtained. YOLO was able to detect objects and provided input to the steering control system,. Meanwhile, to measure the distance of the object to the vehicle in real-time using the depth information method, an accuracy of 60% is obtained. Real-time testing will test whether the autonomous electric vehicle can avoid objects in front of it by inputting the detection results of the Tiny-YOLOv4 model object. The success rate of the system in real-time experiment is 100%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002840	T51099	T510992021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T510992021

Publisher

Inderalaya : Jurusan Teknik Elektro, Fakultas Teknik Universitas Sriwijaya., 2021

Collation

xiv, 57 hlm,: ilus,: 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

629.207

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Teknik kendaraan bermotor
Jurusan Teknik Elektro

Specific Detail Info

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Statement of Responsibility

SEPTA

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